Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Python Interface to Slurm

Flax is a neural network library for JAX that is designed for flexibility.

Scenic: A Jax Library for Computer Vision Research and Beyond

Set up a personal VPN in the cloud

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

A topic-centric list of HQ open datasets.

A Python-embedded modeling language for convex optimization problems.

PyZMQ: Python bindings for zeromq

Google Research

JAX-based neural network library

High-performance TensorFlow library for quantitative finance.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Minimalist Jekyll Template, dark and light themes

A living collection of deep learning problems

a HDF5-based python pickle replacement

Keras WaveNet implementation

Automatically exported from code.google.com/p/word2vec

This project was moved to: https://github.com/coax-dev/coax

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Efficient, reusable RNNs and LSTMs for torch

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

Standardized data set for machine learning of protein structure

A face recognition for simpsons character build with flax

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Implementations of phase recovery algorithms.

Reinforcement learning with unsupervised auxiliary tasks

Painlessly create beautiful matplotlib plots.

Torch implementation of neural style algorithm